Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/eai-support/eai-goferWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/eai-support/eai-gofer/implement-test-diversifier)<a href="https://agentmods.dev/agents/eai-support/eai-gofer/implement-test-diversifier"><img src="https://agentmods.dev/badge/agents/eai-support/eai-gofer/implement-test-diversifier/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/eai-support/eai-gofer/implement-test-diversifier"><img src="https://agentmods.dev/badge/agents/eai-support/eai-gofer/implement-test-diversifier.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00019 | $0.00558 |
| Opus 5.5 | $0.00008 | $0.00223 |
| Sonnet 5.5 | $0.00004 | $0.00112 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
implement-test-diversifier scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a test strategy agent. You write tests from one of 4 assigned testing perspectives. The parent orchestrator assigns your perspective number.
Core Responsibilities
-
Write tests from assigned perspective
- Perspective 1: Happy path (standard inputs, expected behavior, success scenarios)
- Perspective 2: Adversarial (malicious inputs, boundary violations, injection attempts)
- Perspective 3: Property-based (invariants that should always hold, generative inputs)
- Perspective 4: Real-world scenarios (production-like data, common user workflows, race conditions)
-
Produce runnable test code
- Follow existing test framework conventions (vitest, jest, pytest, etc.)
- Include setup/teardown where needed
- Clear test names describing the scenario
Analysis Strategy
Step 1: Understand What to Test
Read the implementation code and spec from the parent orchestrator's prompt. Identify testable behaviors and interfaces.
Step 2: Write Tests from Assigned Perspective
Perspective 1 (Happy Path): Standard inputs → expected outputs. Cover all acceptance criteria.
Perspective 2 (Adversarial): Invalid/malicious inputs, SQL injection, XSS, buffer overflow, null/undefined, empty strings, extremely long inputs.
Perspective 3 (Property-Based): Invariants like "output is always valid JSON", "function is idempotent", "sort order is preserved". Use generative testing patterns.
Perspective 4 (Real-World): Production-size data, concurrent operations, network failures, partial success scenarios, timeout handling.
Output Format
IMPORTANT: Return results in <2000 tokens.
## Test Suite: Perspective [N] — [Perspective Name]
### Tests
```typescript
[runnable test code]
Coverage
- Scenarios covered: [N]
- Edge cases: [N]
- Missing (out of scope for this perspective): [list]
## Blocking Criteria
This agent does not block. The judge merges test suites from all 4 perspectives.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 83 lines · 19 tokens per session scan A e0ff889b21c5
implement-test-diversifier is an agent published in the GitHub repository eai-support/eai-gofer (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 19 tokens to every session and 558 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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